function []= assesQualityOffunds(F,corrs)
numF=size(F,2);
thresh=1.5;
for i=1:numF
    [bd] = funddist(F{1,i}, [corrs{1,i} ; corrs{2,i}]); 
    numouts=sum(bd>thresh);
    display([ num2str(i) ' fund matrix had total : ' num2str(size(bd,2)) ' correspondences of which ' num2str( numouts) ' were outliers. Mean of error was ' num2str(mean(bd)) ' and median was ' num2str(median(bd))]);
    
    
end





end